What are the different archetypes of AI chatbots?
AI chatbots can be categorized into several archetypes, such as rule-based, retrieval-based, and generative models. Each has its strengths and weaknesses.
Can you explain the differences between these archetypes?
Sure! Rule-based chatbots follow predefined rules and scripts, while retrieval-based chatbots select responses from a database. Generative models, like me, create responses on the fly.
How have these archetypes evolved over time?
The evolution began with simple rule-based systems, which gradually advanced to more complex retrieval models, and now we see sophisticated generative models that can understand context and nuance.
What are some examples of each archetype?
Examples include ELIZA for rule-based, Mitsuku for retrieval-based, and ChatGPT for generative models. Each showcases the capabilities of its archetype.
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